Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world's best athletes. It's a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we're after - bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness.
WHO YOU'LL WORK WITH
The Athlete Data Platform team builds the services, schemas, and data systems that give every Nike athlete a single, consent-aware record of who they are and what they're training for - and the intelligence layer that reads from it to power personalization across Nike Run Club (NRC), Nike Training Club (NTC), and the sport-science research surfaces behind them. As the Engineering Manager, you'll lead a full-stack squad spanning backend services, mobile SDK integration, and the data pipelines that keep the athlete record trustworthy end-to-end. You'll report to the Director of Engineering and partner daily with Principal and Lead Engineers, Sport Science, Data Science, Product, Design, the NRC and NTC app team, Privacy and InfoSec, and the Platform Engineering teams your services depend on.
WHO WE ARE LOOKING FOR
Nike is seeking an AI-Native Engineering Manager who leads full-stack delivery and can demonstrate - with concrete, recent examples - how state-of-the-art AI tools, agentic workflows, and spec-driven practices have accelerated the work of the teams they've led. You'll run the team that owns the per-athlete record and the intelligence layer that reads from it - a foundation other teams build on - and you'll be measured on how fast your team turns that foundation into shipped value. The ideal candidate has shipped platform services at consumer scale, has clear opinions on composable architecture and build-vs-buy, and can walk a hiring panel through the specific tools, loops, and metrics they use to compress weeks of work into days.
Demonstrated fluency in AI-Native engineering - specific, recent examples of how state-of-the-art AI tooling and practices accelerated real delivery on teams you've led, with the architectural literacy to distinguish and apply the primitives: agents (the LLM decision loop) and multi-turn conversations (stateful, context-managed sessions); Model Context Protocol (MCP) integrations that expose Nike systems to those agents; workflow orchestration that chains agent steps deterministically; skills as composable guides (soft, loadable instruction packs) and hooks as deterministic gates (hard enforcement points in the dev loop); spec-driven development and evaluation harnesses that keep the whole thing honest - and clear-eyed judgment on what actually works vs. what just looks like it does
5+ years in technology and software engineering roles, including 3+ years in people management or team leadership; Bachelor's degree in Computer Science, Engineering, or a related field, or an equivalent combination of education, experience, and training
Experience leading engineering teams in a highly matrixed environment, with the ability to drive outcomes across partner organizations you don't directly manage
Track record leading full-stack squads shipping consumer-scale platforms - backend services, mobile SDK integration, and data pipelines - with ownership of availability, latency, and cost
Hands-on technical grounding in modern backend stacks (Go, Kotlin/Java, or Python; ConnectRPC/gRPC/REST; event-driven pipelines on Kafka/Kinesis/SNS/SQS; cloud-native deployment on AWS or equivalent)
Working familiarity with at least one mobile platform (iOS/Swift or Android/Kotlin) sufficient to lead technical reviews across backend ↔ client boundaries
Experience partnering with Data Science, ML, or Sport Science teams to move models from notebook to production: data contracts, feature pipelines, evaluation, and safe rollout
Working familiarity with the shape of activity and health data (GPS…